PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

7.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. kore mita nee . %mov:"20029"_882773_883603 FAT · japanese_ishii/20029.cha, line 528 · Jun 2;00
  2. mita ? %mov:"20029"_884968_885555 FAT · japanese_ishii/20029.cha, line 530 · Jun 2;00
  3. kore mita ka ? %mov:"20029"_890325_891780 FAT · japanese_ishii/20029.cha, line 535 · Jun 2;00
  4. kore mita [<] . %mov:"20029"_891780_894447 FAT · japanese_ishii/20029.cha, line 537 · Jun 2;00
  5. kore mo mita ? %mov:"20029"_895697_896660 FAT · japanese_ishii/20029.cha, line 539 · Jun 2;00
  1. CHIkoe oogii wa . %mov:"20029"_878790_881708
    FATookii hikooki ya ne . %mov:"20029"_881708_882773
    FAT*FAT: kore mita nee . %mov:"20029"_882773_883603
    CHImita ? %mov:"20029"_883603_884968
    FATmita ? %mov:"20029"_884968_885555
  2. FATkore mita nee . %mov:"20029"_882773_883603
    CHImita ? %mov:"20029"_883603_884968
    FAT*FAT: mita ? %mov:"20029"_884968_885555
    CHImita koko e baa banchi [>] . %mov:"20029"_885555_888281
    FATkoko ya [/] koko ya [<] . %mov:"20029"_885555_888281
  3. FATmoshitotsu atta zo,, nan ka . %mov:"20029"_888281_889726
    FAThora . %mov:"20029"_889726_890325
    FAT*FAT: kore mita ka ? %mov:"20029"_890325_891780
    CHImita xxx [>] . %mov:"20029"_891780_894447
    FATkore mita [<] . %mov:"20029"_891780_894447
  4. FATkore mita ka ? %mov:"20029"_890325_891780
    CHImita xxx [>] . %mov:"20029"_891780_894447
    FAT*FAT: kore mita [<] . %mov:"20029"_891780_894447
    CHIn ? %mov:"20029"_894447_895697
    FATkore mo mita ? %mov:"20029"_895697_896660
  5. FATkore mita [<] . %mov:"20029"_891780_894447
    CHIn ? %mov:"20029"_894447_895697
    FAT*FAT: kore mo mita ? %mov:"20029"_895697_896660
    CHIxxx naa . %mov:"20029"_896660_899906
    FATe ? %mov:"20029"_899906_900636

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii7.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712557.02

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. mita5 · 100.0%